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篇名 |
Optimal Cache Resource Allocation Based on Deep Neural Networks for Fog Radio Access Networks
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並列篇名 | Optimal Cache Resource Allocation Based on Deep Neural Networks for Fog Radio Access Networks |
作者 | Sovit Bhandari、Hoon Kim、Navin Ranjan、Hong Ping Zhao、Pervez Khan |
英文摘要 | Cache resource allocation is of great significance for the advanced cellular networks, especially for fog radio access networks (F-RANs). Many cache resource allocation schemes have been proposed to increase the performance of F-RANs optimally. However, it is still challenging to apply these schemes and attain live performance in F-RAN systems since most of them need accurate and real-time data which shows radio link information or other network information. This paper presents a cache resource allocation strategy based on deep neural network (DNN) along with the training method required to train the neural networks. Simulation results in terms of DNN accuracy are shown to validate that the performance of proposed method approaches to that of the conventional iterative method in most cases. |
起訖頁 | 967-976 |
關鍵詞 | Cache resource allocation、Fog access point、Optimal、Deep neural network |
刊名 | 網際網路技術學刊 |
期數 | 202007 (21:4期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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